WID Hubs Launch at Illuminating Connections Event

WID’s new hubs—Data Science, Multi-Omics, and Illuminating Discovery—represent a new path forward for collaborative research projects and fields.

Erika Da-Inn Lee

Erika Lee

  • Graduate Student

Developing computational tools to learn the principles of genome organization

New Technology for Controlling Neural Tissue Manufacturing

A paper published in eLife this week by an interdisciplinary team at WID describes new methods for reproducibly manufacturing brain and spinal cord organoids with strict control over morphogenic and developmental processes.

Rahul Parhi

Rahul Parthi

  • Graduate Student

Mathematical Data Science

Weaning Crops from Nitrogen Fertilizers: Examining Evolution’s Innovations

WID researcher Sushmita Roy and collaborators at UW­–Madison and the University of Florida will use a $7 million grant from the U.S. Department of Energy to study how some plants partner with bacteria to create usable nitrogen and to transfer this ability to the bioenergy crop poplar.

Roy Lab

A computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. The lab works to identify networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and construct predictive models from these networks.

Brittany Baur

Brittany Baur

  • Postdoctoral Associate

Predicting long-range enhancer-promoter interactions

Junha Shin

Junha Shin

  • Postdoctoral Associate

Bioinformatics based on networks and large-scale quantitative genomics.

Lauren Michael

Lauren Michael

Research Computing Facilitator, Center for High Throughput Computing

  • Discovery Fellow

Facilitating compute-driven transformations to research projects via personalized consulting.

ZhengZheng (Jane) Tang

ZhengZheng Tang

Assistant Professor

  • Discovery Fellow

Developing statistical methods and computational tools for high-throughput omics data.

Stephen Wright

Steve Wright

George B. Dantzig Professor of Computer Sciences

  • Discovery Fellow

Optimization algorithms with applications to data analysis and other areas.

Sushmita Roy

Sushmita Roy

Associate Professor

  • WID Faculty

Computational methods to model cellular networks

Michael Ferris

Michael Ferris

John P. Morgridge Chair in Computer Sciences
Jacques-Louis Lions Professor of Computer Sciences
Director of Data Science Hub

  • WID Faculty

Optimization methods and data modeling for large scale problems in science, engineering and economics

Inference and Evolutionary Analysis of Genome-Scale Regulatory Networks in Large Phylogenies

In a paper in Cell Systems, Sushmita Roy and colleagues develop a probabilistic graphical model-based method, multi-species regulatory network learning that uses a phylogenetic framework to infer regulatory networks in multiple species simultaneously.